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Selected role

Associate MLOps DevOps Engineer

Plai Labs Los Angeles

Live

$75k - $150k · Senior Full-time Posted over 1 year ago 3 min read

We are seeking a passionate and motivated associate-level ML-ops or DevOps engineer to join our team. The ideal candidate will have experience in software engineering, configuration management, deploying and managing software dependencies within the Python development technology stack. They will be responsible for identifying, analyzing and resolving dependency issues across our product ecosystem. Additionally this role will help drive continuous improvement through automation, testing and CI/CD pipeline management.

Key Responsibilities

Lead the management of software dependencies within our product solutions, ensuring seamless integration and compatibility across our core SaaS product.
Conduct thorough analysis of dependencies to identify potential issues, conflicts, and security vulnerabilities, with a specific focus on ML frameworks and libraries.
Develop and implement strategies to resolve dependency conflicts within a multi-tenant, multi-solution SaaS environment.
Serve as a subject matter expert on dependency management tools and best practices within the context of ML Ops.
Collaborate closely with ML engineers, DevOps engineers and Software Engineers to address dependency-related challenges and streamline the ML development process.
Implement automation and orchestration solutions to automate dependency management tasks and enhance efficiency in ML solution deployment and experimentation.
Document dependency management processes, standards, and guidelines to ensure compliance with organizational policies and compliance requirements.
Stay up-to-date with the latest trends and advancements in ML Ops and dependency management, and proactively identify opportunities for process automation and improvement.

Qualifiications

2+ years working with Python and related Python libraries and frameworks.
Proven experience in software engineering and working on software engineering teams.
Proficiency in scripting, and automation using languages such as Python and Bash.
Knowledge of dependency management tools such as ‘poetry’, ‘pip’, ‘conda’, etc.
Excellent communication, collaboration and problem-solving skills.
Strong problem-solving skills and the ability to debug, analyze and breakdown complex technical issues into smaller, simple and digestible working solutions.
Ability to thrive in a fast-paced, dynamic environment and ability to manage multiple priorities effectively.

Preferred Qualifiications

Experience working with ComfyUI, including building and deploying ‘nodes’ within the ComfyUI platform.
Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Experience working in Agile/Scrum development environments.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with CI/CD tooling and pipelines.

$75,000 - $150,000 a year

Salary Range: $75,000-$150,000 USD per Year

By disclosing our salary range transparently, we aim to foster an environment of fairness and openness, ensuring that every candidate has the information they need to make an informed decision. We are committed to offering competitive compensation packages aligned with industry standards and the value our employees bring to our growing team.

Plai Labs is on a mission to seamlessly connect people and organizations with the world's foremost AI innovations, anywhere, anytime. We do this by providing a platform that simplifies the deployment of AI-powered solutions. Our products aim to accelerate the pace of innovation, enabling a future where AI is integral to solving some of the world's most pressing challenges.

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Is Kubernetes high demand?

▼

Yes, Kubernetes is currently in high demand in the technology industry

Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications

It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility

As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure

Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce

According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace

In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies

Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.

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